Enhanced RSA Key Generation Modelling Using Fingerprint Biometric

Abstract

The RSA is a popular public key cryptography and it has been widely used by many government and commercial organizations nowadays. However, it has some drawbacks compared to other cryptosystems is that it is computationally more expensive and need longer key-lengths which are very difficult to store on smaller computing devices e.g. smartcards, smart phones, palmtops, etc. These drawbacks have been overcome by proposing many variants of RSA e.g. Multi-prime RSA, Common Prime RSA and Dual RSA to reduce the computational cost or to reduce the key length storage space. Here the work is done on a method which provides a way to reduce the key storage space by generating the keys using a matrix. The security of any cryptographic algorithm depends upon the cryptographic keys. The keys must be strong and provide the uniqueness and randomness. Since biometrics uniquely recognize humans based on physical traits like fingerprint, hand, ear, iris, and DNA or behavioral traits like talking, walking, and signature. Fingerprints are the most widely used parameter for personal identification amongst all biometrics. Here Fingerprint minutiae is used to generate the matrix elements which are used to generate the RSA key pairs. First, the minutiae points are extracted from the fingerprint then the extracted minutiae points are used as the elements of matrix.